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Schwämmle, Marius and Durchholz, Sven and Lambert, Baptiste (2025) A VAE-based approach for anomaly detection in experimental turbomachinery sensor data. ODAS 2025: Satellite event: Advances in AI for Aerospace Engineering; 5th workshop, 2025-05-19 - 2025-05-21, Toulouse.
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| Item URL in elib: | https://elib.dlr.de/216549/ | ||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
| Title: | A VAE-based approach for anomaly detection in experimental turbomachinery sensor data | ||||||||||||||||
| Authors: |
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| Date: | 19 May 2025 | ||||||||||||||||
| Refereed publication: | No | ||||||||||||||||
| Open Access: | No | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||
| Editors: |
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| Status: | Published | ||||||||||||||||
| Keywords: | anomaly detection, machine learning, VAE, experimental turbomachinery sensor data | ||||||||||||||||
| Event Title: | ODAS 2025: Satellite event: Advances in AI for Aerospace Engineering; 5th workshop | ||||||||||||||||
| Event Location: | Toulouse | ||||||||||||||||
| Event Type: | Workshop | ||||||||||||||||
| Event Start Date: | 19 May 2025 | ||||||||||||||||
| Event End Date: | 21 May 2025 | ||||||||||||||||
| Organizer: | ONERA | ||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
| HGF - Program: | Aeronautics | ||||||||||||||||
| HGF - Program Themes: | Clean Propulsion | ||||||||||||||||
| DLR - Research area: | Aeronautics | ||||||||||||||||
| DLR - Program: | L CP - Clean Propulsion | ||||||||||||||||
| DLR - Research theme (Project): | L - Virtual Engine | ||||||||||||||||
| Location: | Stuttgart | ||||||||||||||||
| Institutes and Institutions: | Institute of Structures and Design > Leitungsbereich BT Institute of Data Science Institute of Propulsion Technology > Turbine | ||||||||||||||||
| Deposited By: | Schwämmle, Marius | ||||||||||||||||
| Deposited On: | 10 Oct 2025 11:31 | ||||||||||||||||
| Last Modified: | 10 Oct 2025 11:31 |
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